Unnikrishnan, JayakrishnanVetterli, MartinSampling and reconstructing spatial fields using mobile sensors2012 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp)2012 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp)2012 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp)2012 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp)43789-3792Spatial samplingmobile sensingantialiasing filteringspatial smoothing.20122012The classical approach to sampling time-invariant spatial fields uses static sensors distributed over space. We study a new approach involving mobile sensors that move through space measuring the field values along their paths. A single moving sensor can take measurements over a wide spatial area thus acting as a substitute for a potentially large number of static sensors. A moving sensor encounters the spatial field in its path in the form of a time-domain signal. Hence a time-domain anti-aliasing filter can be employed at the mobile sensor to limit the amount of out-of-band noise prior to sampling. We analytically quantify the advantage of mobile sensing over static sensing in rejecting out-of-band noise. We also demonstrate via simulations the improvement in reconstruction accuracy that can be obtained using mobile sensors and filtering in a temperature measurement problem.Ieee978-1-4673-0046-92012 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp)Conference Papers000312381403214